METHODS - CryoEM  C. Dienemann, "Towards automating single-particle cryo-EM data acquisition"  A. Cheng et al., "Fully automated multi-grid cryoEM screening using Smart Leginon"  P.T. Kim et al., "Learning to automate cryo-electron microscopy data collection with Ptolemy" Tom Terwilliger, "AlphaFold changes everything: Incorporating predicted models in X-ray and Cryo-EM structure determination" (2022) Evolving data standards for cryo-EM structures The development of cryo-EM is directly reflected by the growth of cryo-EM strructure depositions contributed worldwide to public data archived. The archiving systems and underlying data standards supporting depostioin, annotation, release, and validation of cyro-EM stuctures and the associated metadata describing cryo-EM experiments have been developed over time to support this growth. Recently,  CL Lawson, HM Berman, and W Chiu outlined the history of these systems and described the process by which data standards had been developed. For details, please click the link. Reliable cryo-EM resolution estimation A modified Fourier shell correlation (FSC) moehodology is introduced by Pawel Penczek, which is aimed addressing two fundamental problems that mar the use of FSC: the strong influence of mask-induced artifacts on resolution estimation and the lack of assessment of FSC uncertaninties stemming from the inability to determine the asscociated number of degrees of freedom. For details, please click the link. Cryo-electron microscopy (CryoEM) is an ensemble of techniques allowing the observation of biological specimens in their native environment at cryogenic temperatures in EM. For a recent cryoEM structure at high resolution, please see 2.2 Å resolution cryo-EM structure of b-galactosidase in complex with a cell-permeant inhibitor. For an overview, please see CryoEM at IUCrJ: a new era.
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